Theory & Applications of Stochastic Systems (B60.4312.01)
This course discusses, at an advanced (but non-measure-theoretic) level, applied probability concepts and tools that are appropriate for the analysis of stochastic systems. Doctoral students in Operations Management, Finance and Economics may find this course useful. The theory is in fact motivated via accompanying applications chosen from production, inventory theory, finance, risk analysis and more.
· Instructor: Victor F. Araman
KMC 8-74. Tel: x 8 4017
Email: varaman@stern.nyu.edu
The class will meet on Thursdays in KMC 5-90 from 12:30 - 3:30pm.
Handouts File (pdf) Handouts File (pdf) Syllabus Syll Lecture 6 Lecture 1 L1 Lecture 7 L7
Lecture 2 L2 Lecture 8 Lecture 3 L3 Lecture 9 Lecture 4 L4
Lecture 10 L10
Lecture 5 L5 Lecture 11 L11
Homeworks File (pdf) HW1 HW1 HW2 HW2 HW3 HW3 HW4 HW4
- The grade will be based on HWs (25%), Paper presentation (25%) and Final (50%).